Evidence map›Paper›PMID 24846645›Full record

ArticleJournal of molecular biology2014

Propensity to form amyloid fibrils is encoded as excitations in the free energy landscape of monomeric proteins.

Pavel I Zhuravlev, Govardhan Reddy, John E Straub, D Thirumalai

Abstract read
In one paragraph

Article in Journal of molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Droplet growth, Ostwald's rule, and emergence of order in Fused in Sarcoma.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Understanding domain swapping in the c-Src SH3 domain through hinge-loop mutagenesis.Acta crystallographica. Section D, Structural biology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Differences in the free energies between the excited states of AProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Causative Links between Protein Aggregation and Oxidative Stress: A Review.International journal of molecular sciences · 2019
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Reply to Alberti: Are in vitro folding experiments relevant in vivo?Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Force-dependent switch in protein unfolding pathways and transition-state movements.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pavel I ZhuravlevBiophysics Program, Institute for Physical Science and Technology, Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA.
Govardhan ReddySolid State and Structural Chemistry Unit, Indian Institute of Science, Bangalore 560 012, India.
John E StraubDepartment of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, MA 02215-2521, USA.
D ThirumalaiBiophysics Program, Institute for Physical Science and Technology, Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA. Electronic address: thirum@umd.edu.

Funding

Computational Approaches to Single Molecule Force SpectroscopyR01GM089685 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI THIRUMALAI, DEVARAJAN · 2010 to 2020
$2.9M
NIGMS NIH HHS R01 GM089685
6 · The paper itself

Abstract

Protein aggregation, linked to many of diseases, is initiated when monomers access rogue conformations that are poised to form amyloid fibrils. We show, using simulations of src SH3 domain, that mechanical force enhances the population of the aggregation-prone (N(⁎)) states, which are rarely populated under force free native conditions but are encoded in the spectrum of native fluctuations. The folding phase diagrams of SH3 as a function of denaturant concentration ([C]), mechanical force (f), and temperature exhibit an apparent two-state behavior, without revealing the presence of the elusive N(⁎) states. Interestingly, the phase boundaries separating the folded and unfolded states at all [C] and f fall on a master curve, which can be quantitatively described using an analogy to superconductors in a magnetic field. The free energy profiles as a function of the molecular extension (R), which are accessible in pulling experiments, (R), reveal the presence of a native-like N(⁎) with a disordered solvent-exposed amino-terminal β-strand. The structure of the N(⁎) state is identical with that found in Fyn SH3 by NMR dispersion experiments. We show that the timescale for fibril formation can be estimated from the population of the N(⁎) state, determined by the free energy gap separating the native structure and the N(⁎) state, a finding that can be used to assess fibril forming tendencies of proteins. The structures of the N(⁎) state are used to show that oligomer formation and likely route to fibrils occur by a domain-swap mechanism in SH3 domain.

Indexed as

Protein Foldingsrc Homology DomainsAmyloidComputer SimulationKineticsModels, MolecularProtein ConformationSpectrum Analysissrc-Family KinasesThermodynamicsAmyloidsrc-Family Kinasesphase diagramprotein aggregationprotein denaturationself-organized polymer modelsingle-molecule force spectroscopy

Identifiers

PMID24846645
PMCPMC4100209

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.